DocumentCode :
2888000
Title :
On Optimization Problems in Quasi-Metric Spaces
Author :
Chen, Shao Bai ; Li, Wen ; Tian, Sen Ping ; Mao, Zong Yuan
Author_Institution :
Coll. of Sci., Wuhan Univ. of Sci. & Technol.
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
865
Lastpage :
870
Abstract :
This paper is concerned with optimization problems in quasi-metric spaces. Many optimization problems such as vector optimization, set-valued optimization, are unified in the quasi-metric space to have a simple expression. In this paper, optimization problems in quasi-metric spaces are put forward firstly, and then the conclusion that infimum of a lower semi-continuous mapping from a compact set to a quasi-metric space can be reached is received. Subsequently, the proposition that there exists an order cone at lest in each asymmetric norm space is proved. In the end, the conclusion is drawn, which an asymmetric norm is determined by a Banach space and an order cone
Keywords :
Banach spaces; optimisation; set theory; Banach space; asymmetric norm space; quasi-metric spaces; semicontinuous mapping; set-valued optimization problem; vector optimization problem; Algorithm design and analysis; Automation; Cybernetics; Educational institutions; Extraterrestrial measurements; Machine learning; Space technology; Topology; Asymmetric norm spaces; Optimization problem; Order cone; Quasi-metric space;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.258487
Filename :
4028184
Link To Document :
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